Open-source electronic data capture system offered increased accuracy and cost-effectiveness compared with paper methods in Africa

• Published in: Journal of clinical epidemiology Vol. 67; no. 12; pp. 1358 - 1363
• Main Authors: Dillon, David G, Pirie, Fraser, Rice, Stephen, Pomilla, Cristina, Sandhu, Manjinder S, Motala, Ayesha A, Young, Elizabeth H
• Format: Journal Article
• Language: English
• Published: New York, NY Elsevier Inc 01.12.2014; Elsevier; Elsevier Limited
• Subjects: Accuracy; Africa; Analysis. Health state; Biological and medical sciences; Biomedical research; Chronic illnesses; Cost-Benefit Analysis; Data capture; Data collection; Data Collection - economics; Data Collection - methods; Design; Diabetes; Documentation; Electronic questionnaire; Electronics - economics; Epidemiology; Family medical history; General aspects; Humans; Internal Medicine; Internet; Interviews; Licensing; Medical sciences; Methods; Open-source; Original; Programming languages; Public health. Hygiene; Public health. Hygiene-occupational medicine; Questionnaires; Reproducibility of Results; Software; Sub-Saharan Africa; Survey; Surveys and Questionnaires - economics; Validation studies; Sub-Saharan Africa; Africa; Open-source; Data capture; Electronic questionnaire; Survey; Epidemiology; Sub-Saharan Africa; Human; Questionnaire; Methodology; Method; Capture; Source; Medicine; Accuracy; Surveillance; Offer; Health economy; Computer; Paper; Comparative study; Public health; Cost efficiency analysis

Abstract Objectives Existing electronic data capture options are often financially unfeasible in resource-poor settings or difficult to support technically in the field. To help facilitate large-scale multicenter studies in sub-Saharan Africa, the African Partnership for Chronic Disease Research (AP...